TMLR

Out-of-Distribution Optimality of Invariant Risk Minimization

Shoji Toyota, Kenji Fukumizu

Journal ref Transactions on Machine Learning Research (TMLR) 2024

Bandits with Mean Bounds

Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai

Comments The current version of the paper was accepted at (and is to appear in) the Transactions on Machine Learning Research (https://openreview.net/forum?id=4TZ4DE24fX)

Learning Unlabeled Clients Divergence for Federated Semi-Supervised Learning via Anchor Model Aggregation

Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li

Comments Accepted by TMLR (10/2024)

PerSEval: Assessing Personalization in Text Summarizers

Sourish Dasgupta, Ankush Chander, Parth Borad, Isha Motiyani, Tanmoy Chakraborty

Comments Accepted in Transactions on Machine Learning Research (TMLR)

Class-Discriminative Attention Maps for Vision Transformers

Lennart Brocki, Jakub Binda, Neo Christopher Chung

Comments Full paper at TMLR; Earlier version at 2024 IJCAI Workshop on Explainable AI (XAI)

Simultaneous Dimensionality Reduction: A Data Efficient Approach for Multimodal Representations Learning

Eslam Abdelaleem, Ahmed Roman, K. Michael Martini, Ilya Nemenman

Comments 13 pages, 8 figures in the main text. 10 pages, 8 figures in the supplementary material

Journal ref Transactions on Machine Learning Research, 2024

VideoGLUE: Video General Understanding Evaluation of Foundation Models

Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong

Comments Accepted to TMLR

Neural incomplete factorization: learning preconditioners for the conjugate gradient method

Paul Häusner, Ozan Öktem, Jens Sjölund

Comments 26 pages, 8 figures, accepted in Transactions on Machine Learning Research (TMLR)

UCB Exploration for Fixed-Budget Bayesian Best Arm Identification

Rong J. B. Zhu, Yanqi Qiu

Journal ref Transactions on Machine Learning Research, 2024

Physical Reasoning and Object Planning for Household Embodied Agents

Ayush Agrawal, Raghav Prabhakar, Anirudh Goyal, Dianbo Liu

Comments Journal: TMLR(May/2024) Total: 39 pages (17 pages main content, 15 Figures)

Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection

Sukanya Patra, Souhaib Ben Taieb

Comments Accepted in Transactions on Machine Learning Research (TMLR). Link to OpenReview: https://openreview.net/forum?id=kdTC4ktHPD

Training-free Linear Image Inverses via Flows

Ashwini Pokle, Matthew J. Muckley, Ricky T. Q. Chen, Brian Karrer

Comments 40 pages, 30 figures. Added additional qualitative results in the appendix

Journal ref Transactions on Machine Learning Research 2024

Learning to Reconstruct Signals From Binary Measurements

Julián Tachella, Laurent Jacques

Comments https://openreview.net/forum?id=ioFIAQOBOS

Journal ref TMLR 2023 (Featured paper)

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark

Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire

Journal ref Transactions on Machine Learning Research 2024

Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC)

Marc A. Tunnell, Zachary J. DeBruine, Erin Carrier

Comments under submission to TMLR

Orthogonal Random Features: Explicit Forms and Sharp Inequalities

Nizar Demni, Hachem Kadri

Comments Published in Transactions on Machine Learning Research (09/2024)

Persona-aware Generative Model for Code-mixed Language

Ayan Sengupta, Md Shad Akhtar, Tanmoy Chakraborty

Comments Published in Transactions on Machine Learning Research (TMLR)

Granger Causal Interaction Skill Chains

Caleb Chuck, Kevin Black, Aditya Arjun, Yuke Zhu, Scott Niekum

Comments Accepted TMLR 2024

Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"

Luan Fletcher, Robert van der Klis, Martin Sedláček, Stefan Vasilev, Christos Athanasiadis

Comments 15 pages, 2 figures, Machine Learning Reproducibility Challenge 2024

Journal ref Transactions on Machine Learning Research 2024

Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning

Ilya Kaufman, Omri Azencot

Comments Accepted to TMLR 2024

Corrective Machine Unlearning

Shashwat Goel, Ameya Prabhu, Philip Torr, Ponnurangam Kumaraguru, Amartya Sanyal

Comments Published in Transactions of Machine Learning Research (TMLR), 17 pages, 7 figures

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

Mufei Li, Eleonora Kreačić, Vamsi K. Potluru, Pan Li

Comments Accepted by TMLR, Code available at https://github.com/Graph-COM/GraphMaker

AGaLiTe: Approximate Gated Linear Transformers for Online Reinforcement Learning

Subhojeet Pramanik, Esraa Elelimy, Marlos C. Machado, Adam White

Comments Published in Transactions on Machine Learning Research

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics

Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Holger Karl, Gerhard Neumann

Comments Accepted at Transactions of Machine Learning Research (TMLR) 2024

Robust Stochastic Optimization via Gradient Quantile Clipping

Ibrahim Merad, Stéphane Gaïffas

Journal ref Transactions on Machine Learning Research 2024

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision

Xijie Huang, Zhiqiang Shen, Pingcheng Dong, Kwang-Ting Cheng

Comments Accepted by TMLR, Code: https://github.com/HuangOwen/Quantization-Variation

More Agents Is All You Need

Junyou Li, Qin Zhang, Yangbin Yu, Qiang Fu, Deheng Ye

Comments Published at Transactions on Machine Learning Research (TMLR)

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science

Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Gloeckler, Lisa Haxel, Jaivardhan Kapoor, Janne K Lappalainen, Jakob H Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sağtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

Journal ref Transactions on Machine Learning Research (TMLR) 2024

From Persona to Personalization: A Survey on Role-Playing Language Agents

Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

Comments Accepted to TMLR 2024

Improving Predictor Reliability with Selective Recalibration

Thomas P. Zollo, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard Zemel

Comments Published in Transactions on Machine Learning Research (07/2024)